Senior Manager, Data Science (Remote - Greater Dublin)

About CrowdStrike

CrowdStrike is a global cybersecurity leader dedicated to protecting the essential elements of modern organizations—people, processes, and technology. Since its establishment in 2011, CrowdStrike’s mission has been to prevent security breaches by employing the world's most sophisticated AI-native platform. Handling nearly 3 trillion events daily, CrowdStrike serves diverse industries striving to maintain safe and uninterrupted operations. Employees benefit from a mission-driven, flexible culture that fosters autonomy, responsible AI adoption, and relentless innovation.

Role Overview

We are seeking a Senior Manager to lead a team of data scientists specialized in the intersection of machine learning, large language models, and cybersecurity/reverse engineering. This leadership position requires managing business priorities, translating them into technical goals, securing stakeholder alignment, and mentoring team members. The role involves devising technical strategies, guiding research directions, and delivering impactful innovations that protect users and communities.

Key Responsibilities

• Lead and mentor data scientists, fostering career growth and technical excellence.
• Collaborate with senior leadership to define priorities, assess risks, plan staffing and budgets, and communicate milestones clearly.
• Strategically plan team roadmaps to balance innovative research with deployment of production ML solutions.
• Stay abreast of emerging machine learning and cybersecurity trends, evaluating new technologies for adoption.
• Work cross-functionally with security research, engineering, and product teams to align ML initiatives with business needs.
• Partner with domain experts to identify opportunities where ML can improve threat detection and response.
• Communicate complex ML concepts effectively to various stakeholders.
• Guide development of advanced models for malware detection, behavioral threat analysis, and automated security workflows.
• Lead research efforts yielding publications, patents, and contributions to the ML and security fields.
• Engage in hands-on technical work to maintain expertise and support the team when required.

Qualifications

• Advanced degree (Master’s or PhD) in Computer Science, Data Science, Mathematics, Physics, or related STEM field; or Bachelor’s degree with equivalent experience.
• Over five years experience in data science and machine learning, including five years in technical leadership or team management roles.
• Proven success in taking machine learning projects from research phases through production deployment.
• Strong ability to collaborate with multidisciplinary teams and translate technical details for non-technical audiences.
• Experienced in presenting to senior leaders, managing risks, and converting business challenges into clear technical goals.
• Excellent communication skills, capable of managing multiple projects while distilling key program details.
• Track record of leveraging AI to enhance decision-making, increase operational efficiency, and drive business results.

Preferred Additional Expertise

• In-depth cybersecurity experience such as threat intelligence, malware analysis, or security operations.
• Familiarity with agentic AI, large language models, or autonomous security automation systems.
• Experience handling very large, sparse, and high-dimensional datasets in production.
• Knowledge of advanced ML methods including semi-supervised, online learning, and model optimization to reduce false positives.
• Strong understanding of ML operations like model monitoring, A/B testing, and production infrastructure.
• Comfortable working within AWS cloud environments and Linux systems.
• Demonstrated ability to establish technical vision and drive ML innovation.
• Experience recruiting and scaling high-performing data science teams.
• Strategic thinker balancing innovation with pragmatic business outcomes.

Additional Qualifications

• Published academic papers, patents, or contributions to ML or cybersecurity communities are highly valued.

Benefits

• Competitive market-leading compensation and equity packages.
• Comprehensive physical and mental health programs.
• Generous vacation and public holidays.
• Paid parental and adoption leave.
• Access to professional development opportunities across all roles.
• Employee networks, local community groups, and volunteering programs to foster connections.
• A vibrant office atmosphere with top-tier amenities (applicable depending on work arrangement).
• Globally certified as a Great Place to Work™.

Equal Opportunity

CrowdStrike is committed to equality and values diversity at all levels. The company offers a culture of inclusion where everyone is supported to thrive. Employment decisions are based solely on job requirements and business needs without discrimination concerning race, gender, religion, veteran status, disability, or any legally protected characteristic. The company also supports veterans and individuals with disabilities through affirmative action initiatives. Accessibility accommodations for the application process are available on request.